Theoretical Exploration of Competency Model Construction for AI-Empowered Human Resource Management Roles

DOI: https://doi.org/10.62517/jmsd.202512406

Author(s)

Lexuan Li, Chen Liu, Huiqiong Ma*

Affiliation(s)

School of Management, China Women's University, Beijing, China *Corresponding Author

Abstract

The rapid advancement of artificial intelligence (AI) technologies is fundamentally transforming the theoretical foundations and practical paradigms of human resource management (HRM). Anchored in traditional competency theory and informed by the evolving influence of technological change on HRM, this paper undertakes a theoretical exploration of constructing HR competency models under AI-empowered conditions. Through literature review and conceptual deduction, the study finds that the integration of AI has led to a structural shift in required HR competencies: conventional transactional capabilities are being supplanted by technological application competency, data analytical competency, strategic thinking competency and interpersonal interaction competency. These dimensions constitute the core competencies for HR professionals in the AI era. The proposed Four-Dimensional Competency Model offers a theoretical framework for cultivating and developing HR talent under digital transformation conditions, thereby enriching the practical application of competency theory in the digital age.

Keywords

Artificial Intelligence; Human Resource Management; Competency Model; AI-Empowered

References

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